Teaching time series and regression analysis using ports of Los Angeles and Long Beach data Online publication date: Mon, 06-Jan-2025
by Ardavan Asef-Vaziri
International Journal of Information and Operations Management Education (IJIOME), Vol. 7, No. 4, 2024
Abstract: The combined ports of Los Angeles and Long Beach (LA/LB) ports are among the world's top ten busiest container ports. Approximately 1/3 of US waterborne containers move through the LA/LB ports. The data on the volume of containerised activities in these ports provide an excellent dataset to teach time series and regression analysis. We use 26 years of data on these ports' activities to teach moving averages, exponential smoothing, trend-adjusted exponential smoothing, and regression analysis. We also use 312 monthly data for teaching seasonality-enhanced regression, multivariate seasonality regression using dummy variables, and trend and seasonality-adjusted exponential smoothing. This manuscript can be used as teaching material, or as a case study in a business analytics foundations or a supply chain management course. A set of useful Excel functions and formulas have been brought together and are fully embedded in the models.
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